Upskilling Revenue Cycle Staff for the AI Era
Sandy Lood explains how AI adoption in revenue cycle requires a fundamental shift in what staff are asked to do. The transactional click-through work, such as processing the same claim steps in sequence, is being replaced by critical thinking and root cause analysis. When a clean claim does not go out the door, the new expectation is that staff investigate why and help build the automation that eliminates the issue permanently, so no one has to touch that same problem again.
That transition requires clear communication with employees. Fear that AI agents will eliminate jobs is real, and leaders need to be explicit about what the new expectation actually is: using staff knowledge and expertise at the highest level rather than repeating low-value mechanical steps. The outcome is more fulfilling work and, downstream, faster clean claim throughput and positive cash flow.
Key Takeaway
AI in revenue cycle changes what staff do, not whether they are needed. The shift is from transactional execution to critical thinking and root cause resolution, building automation that removes recurring issues so staff can focus on work that requires judgment.
“We want to make your job more fulfilling. We want to make it so that you’re using your knowledge and your expertise at the highest level that you can.”
Sandra Lood, Vice President of Revenue Cycle, Cottage Health
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